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What it actually does AI analysis from the code graph — generated when you open this

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README

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/ab445483-be56-48cb-8eb9-aa7c69d98a18

Run Locally

Prerequisites: Node.js

Install dependencies: npm install
Set the GEMINI_API_KEY in .env.local to your Gemini API key
Run the app: npm run dev

Extension points exported contracts — how you extend this code

GameState (Interface)

(no doc)

src/context/GameContext.tsx

GameContextType (Interface)

(no doc)

src/context/GameContext.tsx

Core symbols most depended-on inside this repo

useGame

called by 5

src/context/GameContext.tsx

useKeyboard

called by 2

src/hooks/useKeyboard.ts

src/components/game/MissionTarget.tsx

City

called by 0

src/components/game/City.tsx

Vehicle

called by 0

src/components/game/Vehicle.tsx

Shape

Function 13

Interface 2

Languages

TypeScript100%

Modules by API surface

src/context/GameContext.tsx4 symbols

src/hooks/useKeyboard.ts3 symbols

src/App.tsx3 symbols

src/components/ui/HUD.tsx1 symbols

src/components/game/Vehicle.tsx1 symbols

src/components/game/Player.tsx1 symbols

src/components/game/MissionTarget.tsx1 symbols

src/components/game/City.tsx1 symbols

For agents

$ claude mcp add Game \
  -- python -m otcore.mcp_server <graph>

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